Tony Saliba: Directional Trading with Volatility Skew

Tony Saliba: Directional Trading with Volatility Skew

Tony Saliba masterfully employs volatility skew in his directional trading. He focuses on mispriced options. These mispricings arise from the implied volatility differences across strike prices. Saliba understands that the market often overprices out-of-the-money puts and underprices out-of-the-money calls in equity indices. This creates opportunities.

Strategy: Skew Exploitation

Saliba's strategy involves buying options that exhibit lower implied volatility relative to his directional view. Conversely, he sells options with higher implied volatility. He does not solely rely on outright directional bets. He constructs spreads. These spreads capitalize on the skew itself. For example, if he anticipates a strong upward move in a stock, he might buy a call spread. He selects strikes where the implied volatility gradient suggests an edge. He might buy calls at a lower strike with proportionally lower implied volatility and sell calls at a higher strike with disproportionately higher implied volatility. This captures the upward move while also profiting from the skew normalization.

Setup: Identifying Skew Anomalies

Identifying skew anomalies requires constant market monitoring. Saliba uses proprietary models. These models compare current implied volatility curves to historical averages. He looks for deviations. A sudden steepening of the put skew without a corresponding increase in realized volatility signals potential opportunity. Similarly, a flattening of the call skew before a major announcement might indicate an underpriced upside. He also watches for sector-specific skew changes. For instance, a biotech stock might show a very steep call skew around FDA approval dates. Saliba evaluates if this steepness is justified. If not, he may fade it.

Risk Management: Defined Parameters

Tony Saliba's risk management is rigorous. He defines maximum loss parameters for each trade. For options spreads, the maximum loss is inherently limited. He calculates the credit or debit received. He never risks more than 2% of his trading capital on any single position. If a trade moves against him, he initiates adjustments. He rolls options to different strikes or expirations. He might convert a debit spread into a credit spread to reduce basis. He avoids letting losing positions run. He cuts losses quickly. He knows that small losses preserve capital for future opportunities. He uses a time stop as well. If a trade does not develop within a specified timeframe, typically 5-10 trading days, he closes it. This prevents capital from being tied up in stagnant positions.

Position Sizing: Volatility Adjusted

Position sizing is dynamic for Saliba. He adjusts position size based on the option's sensitivity to volatility (vega). Higher vega positions receive smaller allocations. This controls overall portfolio volatility exposure. He also considers the probability of success for each trade. Trades with a higher perceived probability receive larger allocations, but still within strict risk limits. For a credit spread, he sizes the position so that the maximum loss, if the spread expires in-the-money, does not exceed his 2% rule. He diversifies across multiple underlying assets. This reduces single-stock risk. He rarely puts all his capital into one directional bet, even with a strong conviction.

Market Philosophy: Probabilistic Edge

Saliba's market philosophy centers on probabilistic edges. He does not seek certainty. He seeks situations where the odds favor him. Volatility skew provides such an edge. He believes market participants often misprice options due to fear or greed. Out-of-the-money puts become expensive because of fear of a market crash. Out-of-the-money calls can become cheap because of a lack of imagination regarding upside potential. He exploits these behavioral biases. He remains unemotional. He executes his plan systematically. He understands that not every trade will be a winner. His edge comes from the aggregation of many probabilistic trades. He maintains a detailed trading journal. He reviews every trade, win or loss. This constant review refines his models and decision-making processes.

Career Lessons: Adaptability and Persistence

Tony Saliba's career highlights adaptability. Markets constantly evolve. Trading strategies must evolve with them. He started as a floor trader. He transitioned to electronic trading. He continually refines his approach to volatility and options. Persistence is another key lesson. Success in trading does not come overnight. It requires dedication, continuous learning, and resilience through losing periods. He emphasizes developing a robust methodology. He also stresses strict adherence to that methodology. Deviating from a well-tested plan often leads to poor outcomes. He advocates for deep understanding of market microstructure. This includes how orders interact and how liquidity forms. This foundational knowledge supports his advanced options strategies. He continually seeks new sources of edge. He tests new hypotheses. He never assumes past success guarantees future returns. He remains a student of the market.